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dc.contributor.authorChen, L
dc.contributor.authorAlwi, H
dc.contributor.authorEdwards, C
dc.date.accessioned2019-08-23T14:22:28Z
dc.date.issued2019-09-06
dc.description.abstractThis paper proposes an integrated fault tolerant control scheme for a class of systems, modelled in a linear parameter-varying (LPV) framework and subject to sensor faults. The gain in the LPV sliding mode observer (SMO) and the gain in the LPV static feedback controller are synthesized simultaneously to optimize the performance of the closed-loop system in an L2 sense. In the proposed scheme, the sensor faults are reconstructed by the SMO and these estimates are subsequently used to compensate the corrupted sensor measurements before they are used by the feedback controller. To address the synthesis problem, an iterative algorithm is proposed based on a diagonalization of the closed-loop Lyapunov matrix at each iteration. As a result the NP-hard, non-convex linear parameter-varying bilinear matrix inequality (LPV/BMI) associated with the Bounded Real Lemma formulation, is simplified into a tractable convex LPV/LMI problem. A benchmark scenario, involving the loss of the angle of attack sensor in a civil aircraft, is used as a case study to demonstrate the effectiveness of the scheme.en_GB
dc.description.sponsorshipEuropean Commissionen_GB
dc.identifier.citationVol. 110, article 108536en_GB
dc.identifier.doi10.1016/j.automatica.2019.108536
dc.identifier.grantnumber314544en_GB
dc.identifier.urihttp://hdl.handle.net/10871/38421
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights©2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectSliding mode observeren_GB
dc.subjectFault tolerant controlen_GB
dc.subjectLinear parameter-varyingen_GB
dc.titleOn the synthesis of an integrated active LPV FTC scheme using sliding modesen_GB
dc.typeArticleen_GB
dc.date.available2019-08-23T14:22:28Z
dc.identifier.issn0005-1098
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.identifier.journalAutomaticaen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0en_GB
dcterms.dateAccepted2019-07-26
exeter.funder::European Commissionen_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-07-26
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-08-23T08:19:44Z
refterms.versionFCDAM
refterms.dateFOA2019-09-16T10:56:49Z
refterms.panelBen_GB


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©2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as ©2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).